CN111693795A - Intelligent electric meter-based transformer area line loss rate evaluation and abnormity judgment method - Google Patents
Intelligent electric meter-based transformer area line loss rate evaluation and abnormity judgment method Download PDFInfo
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- CN111693795A CN111693795A CN202010238552.1A CN202010238552A CN111693795A CN 111693795 A CN111693795 A CN 111693795A CN 202010238552 A CN202010238552 A CN 202010238552A CN 111693795 A CN111693795 A CN 111693795A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/001—Measuring real or reactive component; Measuring apparent energy
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/006—Measuring power factor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/06—Arrangements for measuring electric power or power factor by measuring current and voltage
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
The invention provides a line loss rate assessment and abnormity judgment method for a transformer area based on an intelligent electric meter, which comprises the steps of collecting power consumption parameter data in the transformer area by using the intelligent electric meter in a data collection module; calculating a power utilization parameter estimation value by using a line loss estimation module for the power utilization data which are not acquired; the data processing module obtains a calculated value according to the power utilization data and the power utilization parameter estimated value; counting a station area statistic value by using a distribution transformer detection terminal in a data acquisition module, comparing the station area statistic value with the calculated value, and judging abnormity; and the line loss abnormity analysis module sets a metering error threshold value, compares the calculated power supply amount with the metering error threshold value according to daily statistics, and analyzes the abnormity reason. The line loss rate evaluation and abnormity judgment method based on the intelligent electric meter provides a system solution for line loss rate calculation and abnormity judgment of the transformer area, and is beneficial to solving the problem of difficult line loss analysis and management of the transformer area.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a line loss rate evaluation method and an abnormality judgment method for a transformer area based on an intelligent electric meter.
Background
The line loss is the loss caused by the current flowing through the resistor in the transmission, transformation and distribution processes of the power grid, and is the operation economic technical index of the power grid enterprises. Since the power grid enterprise carries out line loss four-point management, the line loss management of the sub-station areas is always a difficult problem for the power grid enterprise.
The line loss analysis and management of the current transformer area have the following defects:
1) because the number of the transformer areas is large, a large amount of manpower and material resources are consumed for theoretical line loss calculation of all the transformer areas, the difficulty degree of line loss management is increased, and the transformer area line loss management has no pertinence.
2) The line loss management of the transformer area does not have a reasonable line loss calculation and analysis method, the theoretical line loss rate control target of the transformer area cannot be obtained, the line loss abnormity judgment is also a cutting or subjective judgment by experience, and the reasonable analysis is not carried out on the specific transformer area.
3) The station-area subscriber identity change relationship is inconsistent.
4) The line loss statistical function of the distribution room of the metering automation system and the marketing system is not complete, the abnormal rate of the line loss of the distribution room is high, and no pertinence exists.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
Therefore, the technical problem to be solved by the present invention is to overcome the technical defects in the line loss calculation and abnormality judgment of the transformer area in the prior art, and the defects that the line loss rate calculation and abnormality judgment of a large number of transformer areas are difficult, so as to provide a transformer area line loss path evaluation and abnormality judgment method based on a smart meter.
In order to solve the technical problems, the invention provides the following technical scheme: a line loss rate evaluation and abnormity judgment method for a transformer area based on an intelligent ammeter comprises the following steps,
collecting power utilization parameter data in the transformer area by using an intelligent electric meter in a data collection module;
calculating a power utilization parameter estimation value by using a line loss estimation module for the power utilization data which are not acquired;
the data processing module obtains calculated values of daily electricity sale quantity, daily loss value, daily line loss rate and daily power supply quantity of the distribution room according to the electricity utilization data and the electricity utilization parameter estimation value;
counting the statistics of the daily electricity sales amount, daily loss value, daily line loss rate and daily power supply amount of the distribution area by using a distribution transformer detection terminal in a data acquisition module, comparing the statistics with the calculated value, and performing abnormity judgment;
and the line loss abnormity analysis module sets a metering error threshold value, compares the calculated power supply amount with the metering error threshold value according to daily statistics, and analyzes the abnormity reason.
As a preferred scheme of the method for evaluating the line loss rate and judging the abnormality of the transformer area based on the smart electric meter, the method comprises the following steps: the data acquisition module comprises an intelligent ammeter and a distribution transformer monitoring terminal, the intelligent ammeter is used for acquiring periodic electricity consumption data of a user, and the data acquisition module comprises daily electricity sales quantity E2nVoltage U2ntCurrent I2ntPower factor of the power converter
The power supply data collected by the distribution transformer detection terminal comprises daily power supply quantity E1Voltage U1tCurrent I of1tPower factor of the power converter
As a preferred scheme of the method for evaluating the line loss rate and judging the abnormality of the transformer area based on the smart electric meter, the method comprises the following steps: and the data processing module is used for processing the data acquired by the data acquisition module, alarming when data abnormity is found, eliminating abnormal data and estimating and correcting the abnormal data by adopting a time sequence analysis method.
As a preferred scheme of the method for evaluating the line loss rate and judging the abnormality of the transformer area based on the smart electric meter, the method comprises the following steps: for user voltage U which is not collected2mtCurrent I2mtPower factor of the power converter
Electricity selling quantity of user E2mAnd estimating the data which are not collected by adopting a time series analysis method and a load curve fitting method in a combined manner according to the historical data.
As a preferred scheme of the method for evaluating the line loss rate and judging the abnormality of the transformer area based on the smart electric meter, the method comprises the following steps: selecting a historical daily electric quantity value of nearly 10 days by using a time sequence analysis method, estimating the daily electric quantity of a user which is not collected by adopting a simple exponential smoothing method with the smoothing coefficient selection range of 0.4-0.5, selecting a voltage value collected historically of nearly 3 days to fit a load curve, and finally deducing a voltage, a current and a power factor of each collection moment according to the estimated daily electric quantity and the fitted load curve.
As a preferred scheme of the method for evaluating the line loss rate and judging the abnormality of the transformer area based on the smart electric meter, the method comprises the following steps: the line loss rate in each user calculation period is delta P by adopting a voltage loss method2nt% and Δ P2mtPercent and obtaining the electric quantity loss delta E in the period2ntAnd Δ E2mt(ii) a Calculating once per acquisition according to a period; the daily line loss rate delta P of each user is calculated in an accumulated mode2n% and Δ P2m%, calculating to obtain daily electricity sale quantity E 'of the distribution area'2Daily loss value Delta E2And the sun line loss rate delta P2% daily electric power supply E2。
As a preferred scheme of the method for evaluating the line loss rate and judging the abnormality of the transformer area based on the smart electric meter, the method comprises the following steps: the voltage loss method comprises the following steps:
voltage U at the head end of the transformer area1tAnd a user voltage U2ntAnd U2mtUser power factor
Get the voltage drop per user:
by a factor K determined by the size of the zone conductorPCalculating the line loss rate delta P of the user2nt% and Δ P2mtPercent and obtaining the electric quantity loss delta E in the period2ntAnd Δ E2mt：
ΔP2nt％＝KpntΔUnt
ΔP2m％＝KpmtΔUmt
Wherein:
as a preferred scheme of the method for evaluating the line loss rate and judging the abnormality of the transformer area based on the smart electric meter, the method comprises the following steps: the method for summarizing and calculating the daily line loss rate and the daily power supply comprises the following steps:
daily line loss rate of each user:
daily electricity sales in the distribution room:
the daily loss value of the distribution room is as follows:
daily calculation of power supply: e2＝ΔE2+E2
Daily calculation of line loss rate: delta P2％＝ΔE2/E2；
In the formula: daily line loss per userRate Δ P2n% and Δ P2m%, calculating to obtain daily electricity sale quantity E 'of the distribution area'2Daily loss value Delta E2And the sun line loss rate delta P2% daily electric power supply E2。
As a preferred scheme of the method for evaluating the line loss rate and judging the abnormality of the transformer area based on the smart electric meter, the method comprises the following steps: before the data acquisition unit is used for acquiring the electricity consumption data in the transformer area, the numerical value of the ratio of the reactance of the wire of the transformer area to the resistance of the wire of the transformer area needs to be input.
As a preferred scheme of the method for evaluating the line loss rate and judging the abnormality of the transformer area based on the smart electric meter, the method comprises the following steps: setting a metering error threshold, wherein the absolute value of the difference between the daily statistical power supply quantity and the calculated power supply quantity is larger than the threshold, and the station area is abnormal; when the daily statistic power supply amount is larger than the sum of the calculated power supply amount and the threshold value, judging that the abnormality is caused by: the metering devices at the head end of the transformer area are more metered, the metering devices of users are less metered, and the household variation relationship is inconsistent; when the daily statistic power supply amount is smaller than the difference of the calculated power supply amount minus the threshold value, the reason of the abnormity is judged as follows: the metering meters at the head end of the transformer area are less in metering, the metering meters of users are more in metering, and the household variable relation is inconsistent.
The invention has the beneficial effects that: the line loss rate evaluation and abnormity judgment method based on the intelligent ammeter provides a system solution for line loss rate calculation and abnormity judgment of the distribution area, is beneficial to solving the problem of difficult line loss analysis and management of the distribution area, promotes fine management of the line loss rate of the distribution area, reduces the distribution area loss, and contributes to energy conservation of a power distribution network. And the calculation result is fed back to the metering automation system, the marketing system and workers, so that the data quality of the metering automation system and the marketing system is improved, and the abnormal processing of the transformer area is facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a flow of a method for evaluating a line loss rate and judging an abnormality of a distribution area based on an intelligent electric meter;
FIG. 2 is a schematic diagram of system function construction of a region line loss rate evaluation and abnormality judgment method based on an intelligent electric meter;
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Example 1
The embodiment provides a line loss rate assessment and abnormity judgment method for a transformer area based on an intelligent electric meter, which comprises the steps of collecting power consumption parameter data in the transformer area by using the intelligent electric meter in a data collection module; calculating a power utilization parameter estimation value by using a line loss estimation module for the power utilization data which are not acquired; the data processing module obtains calculated values of daily electricity sale quantity, daily loss value, daily line loss rate and daily power supply quantity of the distribution room according to the electricity utilization data and the electricity utilization parameter estimation value; counting the statistics of the daily electricity sales amount, daily loss value, daily line loss rate and daily power supply amount of the distribution area by using a distribution transformer detection terminal in a data acquisition module, comparing the statistics with the calculated value, and performing abnormity judgment; and the line loss abnormity analysis module sets a metering error threshold value, compares the calculated power supply amount with the metering error threshold value according to daily statistics, and analyzes the abnormity reason.
Wherein, the data acquisition module includes smart electric meter and distribution transformer monitor terminal, and smart electric meter is used for gathering user's cycle power consumption data, and it includes daily electric quantity of selling E2nVoltage U2ntCurrent I2ntPower factor of the power converter
The power supply data collected by the distribution transformer detection terminal comprises daily power supply quantity E1Voltage U1tCurrent I of1tPower factor of the power converter
And the data processing module is used for processing the data acquired by the data acquisition module, alarming when data abnormity is found, eliminating abnormal data and estimating and correcting the abnormal data by adopting a time sequence analysis method.
For user voltage U which is not collected2mtCurrent I2mtPower factor of the power converter
Electricity selling quantity of user E2mAnd estimating the data which are not collected by adopting a time series analysis method and a load curve fitting method in a combined manner according to the historical data.
Selecting a historical daily electric quantity value of nearly 10 days by using a time sequence analysis method, estimating the daily electric quantity of a user which is not collected by adopting a simple exponential smoothing method with the smoothing coefficient selection range of 0.4-0.5, selecting a voltage value collected historically of nearly 3 days to fit a load curve, and finally deducing a voltage, a current and a power factor of each collection moment according to the estimated daily electric quantity and the fitted load curve.
The line loss rate in each user calculation period is delta P by adopting a voltage loss method2nt% and Δ P2mtPercent and obtaining the electric quantity loss delta E in the period2ntAnd Δ E2mt(ii) a Calculating once per acquisition according to a period; the daily line loss rate delta P of each user is calculated in an accumulated mode2n% and Δ P2m%, calculating to obtain daily electricity sale quantity E 'of the distribution area'2Daily loss value Delta E2And the sun line loss rate delta P2% daily electric power supply E2。
Specifically, the voltage loss method in this embodiment is:
voltage U at the head end of the transformer area1tAnd a user voltage U2ntAnd U2mtUser power factor
Get the voltage drop per user:
by a factor K determined by the size of the zone conductorPCalculating the line loss rate delta P of the user2nt% and Δ P2mtPercent and obtaining the electric quantity loss delta E in the period2ntAnd Δ E2mt：
ΔP2nt％＝KpntΔUnt
ΔP2m％＝KpmtΔUmt
Wherein:
in this embodiment, the method for calculating the daily line loss rate and the daily power supply in a summary manner is as follows:
daily line loss rate of each user:
daily electricity sales in the distribution room:
the daily loss value of the distribution room is as follows:
daily calculation of power supply: e2＝ΔE2+E′2
Daily calculation of line loss rate: delta P2％＝ΔE2/E2；
In the formula: daily line loss rate Δ P of each user2n% and Δ P2mPercent, summarizing and calculating to obtain daily electricity sales E of the distribution room2Daily loss value Delta E2And the sun line loss rate delta P2% daily electric power supply E2。
Before the data acquisition unit is used for acquiring the electricity consumption data in the transformer area, the numerical value of the ratio of the reactance of the wire of the transformer area to the resistance of the wire of the transformer area needs to be input.
Inputting the numerical value of the ratio X/R of the reactance and the resistance of the line in the platform area according to the type of the line, and referring to the following table 1:
TABLE 1X/R values for typical mesa wires
In the embodiment, a metering error threshold value is set, the absolute value of the difference between the daily statistical power supply quantity and the calculated power supply quantity is larger than the threshold value, and the station area is abnormal; when the daily statistic power supply amount is larger than the sum of the calculated power supply amount and the threshold value, judging that the abnormality is caused by: the metering devices at the head end of the transformer area are more metered, the metering devices of users are less metered, and the household variation relationship is inconsistent; when the daily statistic power supply amount is smaller than the difference of the calculated power supply amount minus the threshold value, the reason of the abnormity is judged as follows: the metering meters at the head end of the transformer area are less in metering, the metering meters of users are more in metering, and the household variable relation is inconsistent.
The method in the embodiment can be integrated in a centralized collector, a low-voltage centralized meter reading system, a marketing system or a metering automation system and the like, and can be used as a functional module for automatic calculation and analysis. The calculation and analysis results of the method in the embodiment can provide line loss abnormal alarm and accurate daily line loss rate statistic values for the metering automation system and the marketing system.
In order to implement the method in this embodiment, this embodiment further provides a station area line loss rate evaluation method and an anomaly determination system based on the smart electric meter, and the method and the anomaly determination system are shown in fig. 2, and include a data acquisition and processing module, an unrecovered data estimation module, a line loss calculation module, a line loss statistics module, a line loss anomaly analysis module, a system interface, and an alarm module. The data acquisition and processing module is connected with the intelligent electric meter and the distribution transformer detection terminal and receives data transmitted by the intelligent electric meter and the distribution transformer detection terminal. The line loss calculating module is connected with the line loss counting module, the data collecting and processing module and the non-collected data estimating module and is used for calculating the line loss rate delta P in each user calculating period2nt% and Δ P2mtPercent and obtaining the electric quantity loss delta E in the period2ntAnd Δ E2mt(ii) a Calculating once per acquisition according to a period; the daily line loss rate delta P of each user is calculated in an accumulated mode2n% and Δ P2m%, calculating to obtain daily electricity sale quantity E 'of the distribution area'2Daily loss value Delta E2And the sun line loss rate delta P2% daily electric power supply E2. The line loss abnormity analysis module is connected with the system interface, and provides line loss abnormity alarm and accurate daily line loss rate statistic for the metering automation system and the marketing system.
Example 2
The present embodiment provides a flow of a method for evaluating a line loss rate and determining an abnormality of a distribution area based on a smart meter, where a logic process of the method is shown in fig. 1, and the method includes the following steps:
step 1, inputting a ratio X/R value of reactance and resistance of a lead in a transformer area according to the type of the lead;
step 2, the data acquisition unit acquires the voltage U of the intelligent electric meter user2nt(N users in total, T is the total number of times of collection in one day), and current I2ntPower factor of the power converter
And voltage U of TTU (distribution transformer monitoring terminal)1tCurrent I1tPower factor of the power converter
The collection is carried out in a period of 15 minutes, half an hour, 1 hour and the like. Daily electricity selling quantity E of user is collected through intelligent electric meter2nAcquiring the daily power supply E of the distribution room through the TTU1. And processing the acquired data, alarming when data abnormality is found, and rejecting abnormal data. And then, estimating and correcting the abnormal data by adopting a time series analysis method.
Step 3, for the user voltage U which is not collected2mt(M total users, T is the total number of times of collection in one day), and current I2mtPower factor of the power converter
Electricity selling quantity of user E2mAnd estimating the data which are not collected by adopting a time series analysis method and a load curve fitting method in a combined manner according to the historical data.
Step 4, adopting a voltage loss method to calculate the line loss rate delta P in each user calculation period2nt% and Δ P2mtPercent and obtaining the electric quantity loss delta E in the period2ntAnd Δ E2mt. The calculation is performed once per acquisition according to the period.
Step 5, cumulatively calculating the daily line loss rate delta P of each user2n% and Δ P2m%, calculating to obtain daily electricity sale quantity E 'of the distribution area'2Daily loss value Delta E2And the sun line loss rate delta P2% daily electric power supply E2。
Step 6, counting the daily power supply quantity E of the distribution room1And the sun line loss rate delta P1% daily loss Δ E1And comparing the statistical result with the calculation result to judge the abnormality.
And 7, setting a metering error threshold, wherein the absolute value of the difference between the daily statistical power supply quantity and the calculated power supply quantity is larger than the threshold, and the station area is abnormal. When the daily statistical power supply amount is larger than the sum of the calculated power supply amount and the threshold value, the main reasons of the abnormity are as follows: the metering devices at the head end of the transformer area are more metered, the metering devices of users are less metered, and the household variable relation is inconsistent; when the daily statistical power supply amount is smaller than the difference between the calculated power supply amount and the threshold value, the main reasons of the abnormity are as follows: the metering devices at the head end of the transformer area are less in metering, the metering devices of users are more in metering, the household variable relation is inconsistent, and the like.
Example 3
In this embodiment, the method and system in embodiment 1 are used to select 10 regions with abnormal line loss rate statistics for test point, and the method is integrated in a centralized collector and a low-voltage centralized meter reading system through a data acquisition and processing module, an unrecovered data estimation module, a line loss calculation module, a line loss statistics module, a line loss abnormality analysis module, a system interface, and an alarm module to calculate the line loss rate of the regions. Before implementation, the line loss rate of 10 transformer areas is 15-40%, the fluctuation is large, and the line loss rate is counted to be abnormal; after the implementation, the calculated line loss rate of 10 transformer areas is below 8%, the statistical line loss rate is reduced to 5% -10% through comparison with the statistical line loss rate and exception handling, and the management of the line loss of the transformer areas is effectively guided.
Table 1: line loss condition of foreground zone of implementation method
Table 2 implementation method background area line loss situation
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. A line loss rate assessment and abnormity judgment method for a transformer area based on an intelligent electric meter is characterized by comprising the following steps: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
collecting power utilization parameter data in the transformer area by using an intelligent electric meter in a data collection module;
calculating a power utilization parameter estimation value by using a line loss estimation module for the power utilization data which are not acquired;
the data processing module obtains calculated values of daily electricity sale quantity, daily loss value, daily line loss rate and daily power supply quantity of the distribution room according to the electricity utilization data and the electricity utilization parameter estimation value;
counting the statistics of the daily electricity sales amount, daily loss value, daily line loss rate and daily power supply amount of the distribution area by using a distribution transformer detection terminal in a data acquisition module, comparing the statistics with the calculated value, and performing abnormity judgment;
and the line loss abnormity analysis module sets a metering error threshold value, compares the calculated power supply amount with the metering error threshold value according to daily statistics, and analyzes the abnormity reason.
2. The line loss rate assessment and abnormality judgment method for distribution room based on smart electric meter according to claim 1, characterized in that: the data acquisition module comprises an intelligent ammeter and a distribution transformer monitoring terminal, the intelligent ammeter is used for acquiring periodic electricity consumption data of a user, and the data acquisition module comprises daily electricity sales quantity E2nVoltage U2ntCurrent I2ntPower factor of the power converter
The power supply data collected by the distribution transformer detection terminal comprises daily power supply quantity E1Voltage U1tCurrent I of1tPower factor of the power converter
3. The line loss rate assessment and abnormality judgment method for distribution room based on smart electric meter according to claim 2, characterized in that: and the data processing module is used for processing the data acquired by the data acquisition module, alarming when data abnormity is found, eliminating abnormal data and estimating and correcting the abnormal data by adopting a time sequence analysis method.
4. The line loss rate assessment and abnormality judgment method for distribution room based on smart electric meter according to claim 2, characterized in that: for user voltage U which is not collected2mtCurrent I2mtPower factor of the power converter
Electricity selling quantity of user E2mAnd estimating the data which are not collected by adopting a time series analysis method and a load curve fitting method in a combined manner according to the historical data.
5. The line loss rate assessment and abnormality judgment method based on the smart electric meter, according to claim 4, is characterized in that: selecting a historical daily electric quantity value of nearly 10 days by using a time sequence analysis method, estimating the daily electric quantity of a user which is not collected by adopting a simple exponential smoothing method with the smoothing coefficient selection range of 0.4-0.5, selecting a voltage value collected historically of nearly 3 days to fit a load curve, and finally deducing a voltage, a current and a power factor of each collection moment according to the estimated daily electric quantity and the fitted load curve.
6. The line loss rate assessment and abnormality judgment method for distribution room based on smart electric meter according to claim 1, characterized in that: the line loss rate in each user calculation period is delta P by adopting a voltage loss method2nt% and Δ P2mtPercent and obtaining the electric quantity loss delta E in the period2ntAnd Δ E2mt(ii) a Calculating once per acquisition according to a period; the daily line loss rate delta P of each user is calculated in an accumulated mode2n% and Δ P2m%, calculating to obtain daily electricity sale quantity E 'of the distribution area'2Daily loss value deltaE2And the sun line loss rate delta P2% daily electric power supply E2。
7. The line loss rate assessment and abnormality judgment method based on the smart electric meter, according to claim 6, is characterized in that: the voltage loss method comprises the following steps:
voltage U at the head end of the transformer area1tAnd a user voltage u2ntAnd U2mtUser power factor
Get the voltage drop per user:
by a factor K determined by the size of the zone conductorPCalculating the line loss rate delta P of the user2nt% and Δ P2mtPercent and obtaining the electric quantity loss delta E in the period2ntAnd Δ E2mt：
ΔP2nt％＝KpntΔUnt
ΔP2m％＝KpmtΔUmt
Wherein:
8. the line loss rate assessment and abnormality judgment method based on the smart electric meter, according to claim 6, is characterized in that: the method for summarizing and calculating the daily line loss rate and the daily power supply comprises the following steps:
daily line loss rate of each user:
daily electricity sales in the distribution room:
the daily loss value of the distribution room is as follows:
daily calculation of power supply: e2＝ΔE2+E′2
Daily calculation of line loss rate: delta P2％＝ΔE2/E′2；
In the formula: daily line loss rate Δ P of each user2n% and Δ P2m%, calculating to obtain daily electricity sale quantity E 'of the distribution area'2Daily loss value Delta E2And the sun line loss rate delta P2% daily electric power supply E2。
9. The line loss rate evaluation and abnormality judgment method based on the smart electric meter of claim 1, wherein: before the data acquisition unit is used for acquiring the electricity consumption data in the transformer area, the numerical value of the ratio of the reactance of the wire of the transformer area to the resistance of the wire of the transformer area needs to be input.
10. The line loss rate evaluation and abnormality judgment method based on the smart electric meter of claim 1, wherein: setting a metering error threshold, wherein the absolute value of the difference between the daily statistical power supply quantity and the calculated power supply quantity is larger than the threshold, and the station area is abnormal; when the daily statistic power supply amount is larger than the sum of the calculated power supply amount and the threshold value, judging that the abnormality is caused by: the metering devices at the head end of the transformer area are more metered, the metering devices of users are less metered, and the household variation relationship is inconsistent; when the daily statistic power supply amount is smaller than the difference of the calculated power supply amount minus the threshold value, the reason of the abnormity is judged as follows: the metering meters at the head end of the transformer area are less in metering, the metering meters of users are more in metering, and the household variable relation is inconsistent.
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| CN115792370A (en) * | 2023-02-08 | 2023-03-14 | 北京清众神州大数据有限公司 | Energy utilization diagnosis method, device and equipment based on intelligent electric meter |
| CN117216706A (en) * | 2023-11-09 | 2023-12-12 | 国网浙江省电力有限公司杭州供电公司 | Power distribution network data anomaly tracing method, system, computer equipment and medium |
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